AirBnB - A Sentiment Analysis

Introduction

What is Airbnb and how does it work?

A community built on sharing

"Airbnb began in 2008 when two designers who had space to share hosted three travelers looking for a place to stay. Now, millions of hosts and travelers choose to create a free Airbnb account so they can list their space and book unique accommodations anywhere in the world. And Airbnb experience hosts share their passions and interests with both travelers and locals."

Trusted services

"Airbnb helps make sharing easy, enjoyable, and safe. We verify personal profiles and listings, maintain a smart messaging system so hosts and guests can communicate with certainty, and manage a trusted platform to collect and transfer payments."

What Information Do We Have?

The source of the data is kaggle.com. The data used in this analysis is for two cities:

  1. Boston
  2. Seattle

Is there information in the calendar or reviews data files that would be useful?

Time Taken

    Grouped by city, english language only: Time Taken: 303.38720989227295 seconds
                        loaded from pickle: Time Taken: 15.748566150665283 seconds

Do the dataframes include the same listings?

All listings, in the listings data, are in the calendar data file. But close to 19% are missing from the reviews data.

          city_merge
          Boston    127.976
          Seattle   173.926
          Name: price, dtype: float64

Let's Remove Non-English Reviews